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prot_bert-finetuned-smiles-bindingDB – AI Model by nepp1d0 | AlphaNeural AI
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prot_bert-finetuned-smiles-bindingDB
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transformers
pytorch
tensorboard
bert
fill-mask
generated_from_trainer
autotrain_compatible
endpoints_compatible
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prot_bert-finetuned-smiles-bindingDB
This model is a fine-tuned version of
Rostlab/prot_bert
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.2250
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 1e-06
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.6942
1.0
10000
1.4153
1.3261
2.0
20000
1.2679
1.2467
3.0
30000
1.2300
Framework versions
Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.12.1
